Course Outline:

Module 1: Introduction to GIS and Remote Sensing for Disaster Risk Management

• Fundamentals of GIS and Remote Sensing in disaster management

• Key disaster risk management concepts

• Overview of disaster cycles: mitigation, preparedness, response, and recovery

• Introduction to GIS software and remote sensing tools

• Mapping and spatial data analysis for disaster management

Case Study/Real-life Project:

• Analyze a disaster-prone region and identify critical infrastructure for disaster preparedness using GIS tools.

Module 2: Remote Sensing Data Collection and Analysis for Disaster Risk Management

• Understanding remote sensing technologies: satellite imagery, drones, and aerial photography

• Types of remote sensing data for disaster management

• Techniques for processing and analyzing remote sensing data

• Disaster-specific applications: flood, fire, earthquake, and landslides

Case Study/Real-life Project:

• Analyze satellite imagery to identify flood-prone areas and evaluate flood risks using remote sensing data.

Module 3: GIS for Hazard Mapping and Risk Assessment

• Using GIS to assess natural hazards (earthquakes, floods, wildfires, etc.)

• Creating hazard maps for disaster management planning

• Integrating environmental, social, and economic data in GIS

• Risk assessment methodologies: vulnerability, exposure, and hazard analysis

• GIS tools for spatial decision support systems in disaster risk management

Case Study/Real-life Project:

• Develop a GIS-based hazard map for a vulnerable community and assess the risk level for various natural disasters.

Module 4: Disaster Response and Early Warning Systems Using GIS and Remote Sensing

• Role of GIS and Remote Sensing in disaster response operations

• Setting up early warning systems using GIS and satellite data

• Real-time data integration for rapid decision-making

• Case studies on the use of remote sensing for disaster response (e.g., Hurricane Katrina, Tsunami, Earthquake)

Case Study/Real-life Project:

• Design an early warning system for an earthquake-prone region using GIS and remote sensing data.

Module 5: Post-Disaster Assessment and Recovery Planning Using GIS and Remote Sensing

• Techniques for post-disaster damage assessment using GIS and remote sensing data

• Using GIS for recovery planning: assessing damage to infrastructure, housing, and agriculture

• GIS for monitoring recovery progress and sustainability

• Leveraging GIS for long-term disaster risk reduction strategies

Case Study/Real-life Project:

• Conduct a post-disaster damage assessment in a real-world scenario using remote sensing and GIS data. Develop a recovery plan with GIS maps and analysis.